Advancing safety and efficiency training goals: The development of a virtual reality rescue training system for forest fires DOI

Le Fan,

Xinzhu Guo,

Xiyuan Hou

et al.

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2024, Volume and Issue: 25(2), P. 1461 - 1476

Published: Nov. 17, 2024

Forest fires, due to their multitude of influencing factors, complex disaster scene environment, and the randomness special fire behaviors, pose issues in emergency rescue training, such as insufficient realism scenarios, significant safety hazards, difficulties behavior quantification monitoring. This study applies virtual reality (VR) technology develop a forest training system, establishing three main modules: situation deduction, teaching assessment. The system implements dynamic deduction typical types effectively improving simulation level scenarios. It constructs scene, weather combustible material library, tool equipment action rule realizing interaction between real-time under scenarios based on operating procedure. also structures monitoring assessment process, achieving quantitative detection post-evaluation effects. To evaluate system’s efficacy, pretesting post-testing controlled experiments were conducted verify learning outcomes trainees. experimental results show that after undergoing 5 days VR with daily sessions lasting 30 minutes, improvements observed trainees’ cognition concerning theory, operational skills, firefighting strategies, determined by repeated measures analysis variance (ANOVA). These statistically significant, promoting knowledge acquisition transfer more than traditional methods ( p < 0.05*). In addition, according subjective feedback trainees, 84.2% participants satisfied overall using this system. Despite some limitations restrict generalizability conclusions, offers new perspective training. Moreover, it provides valuable insights references for development various programs modernization China’s forces.

Language: Английский

The Risk-Informed Asset-Centric (RIACT) Urban Resilience Enhancement Process: An Outline and Pilot-Case Demonstrator for Earthquake Risk Mitigation in Portuguese Municipalities DOI Creative Commons
Seyed M. H. S. Rezvani, Maria João Falcão Silva, N. Almeida

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 634 - 634

Published: Jan. 11, 2024

This study introduces the Risk-Informed Asset-Centric (RIACT) process, a novel approach aimed at enhancing safety and resilience of urban infrastructures against natural man-made disasters. The RIACT method stands out for its comprehensive analysis potential disruptions to areas, encompassing their susceptibility disasters, vulnerability factors, recovery capabilities. study’s primary focus is on Portugal’s 308 municipalities, assessing preparedness ability recover from earthquake events. Methodologically, involved employing geographic information system (GIS) mapping evaluate risks, combining data regional risk demographic economic profiles, capacities. provides detailed understanding each municipality’s strengths areas in need improvement, encouraging collaborative framework sharing implementing best practices. results reveal significant variations across different regions, highlighting tailored strategies. Conclusively, not only enhances individual municipalities but also contributes broader national strategy resilience, offering valuable insights effective disaster management planning.

Language: Английский

Citations

9

Evaluation of Urban Infrastructure Resilience Based on Risk–Resilience Coupling: A Case Study of Zhengzhou City DOI Creative Commons
Wenli Dong,

Yunhan Zhou,

Dongxin Guo

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 530 - 530

Published: March 3, 2025

The frequent occurrence of disasters has brought significant challenges to increasingly complex urban systems. Resilient city planning and construction emerged as a new paradigm for dealing with the growing risks. Infrastructure systems like transportation, lifelines, flood control, drainage are essential operation during disasters. It is necessary measure how risks affect these systems’ resilience at different spatial scales. This paper develops an infrastructure risk evaluation index system in areas based on characteristics. Then, comprehensive established risk–resilience coupling mechanism. overall characteristics then identified. transmission level causes effects analyzed principle scale. Additionally, enhancement strategies under scenarios proposed. In empirical study Zhengzhou City, shows clustering area. high central low periphery. Specifically, it relatively southern northwestern parts airport economy zone (AEZ) center. leading driving factors drought, hazardous materials, infectious diseases, epidemics, while include transportation networks, sponge construction, municipal pipe fire protection. proposes “risk-resilience” framework evaluate analyze multi-hazard multi-system across multi-level provides strategies, complementing existing individual dimensional or studies. findings could offer visualized results support decision-making Zhengzhou’s resilient outline special provide references assessment similar cities.

Language: Английский

Citations

1

Combating urban heat: Systematic review of urban resilience and adaptation strategies DOI Creative Commons
Qingchen Fu,

Zhouhua Zheng,

Md Nazirul Islam Sarker

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37001 - e37001

Published: Aug. 27, 2024

Language: Английский

Citations

6

Assessing Earthquake-Induced Vulnerability of Critical Infrastructure in Kahramanmaraş Using Geographic Information Systems and Remote Sensing Technologies DOI
Mehmet Çetin, Ceren Özcan Tatar, Yalcin Ozturk

et al.

Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 5, 2024

Language: Английский

Citations

5

Archetypes of local governance for flood risk reduction decision-making under uncertain climate change futures DOI Creative Commons
Zoe Latham,

Grace Barrett-Lennard,

Aaron Opdyke

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105632 - 105632

Published: June 28, 2024

Urban coastal communities are among the most vulnerable to flood hazards, with these threats set increase under climate change. Knowledge of how uncertainty shapes passive or proactive local decision-making processes adaptation remains sparse – significant potential inform resilient and sustainable futures. To understand decision dynamics, we developed a serious game simulate governance roles, resources, assets involved in managing risk uncertain scenarios. Using data on actions workshops conducted Philippines, identify three distinct archetypes collective decision-making: (1) Hierarchical Alliances; (2) Passive Enthusiasts (3) Deliberative Strategists. We then examine respond situational, temporal, choice, outcome uncertainties present change scenarios, uncovering six strategies used act, reduce, supress, forestall uncertainties: (a) resource sharing; (b) coordination; (c) early action; (d) mobilising values; (e) transferring accountability; (f) balancing. Our results show different perform decisions, offering new guidance structure mechanisms planning impacts.

Language: Английский

Citations

4

Place-centred emerging Technologies for Disaster Management: a Scoping Review DOI Creative Commons
Matteo Baraldo,

Paola Di Giuseppantonio Di Franco

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 112, P. 104782 - 104782

Published: Aug. 24, 2024

Language: Английский

Citations

4

Spatial identification of regions exposed to multi-hazards at the pan-European level DOI Creative Commons

Tiberiu-Eugen Antofie,

Stefano Luoni,

Aloïs Tilloy

et al.

Natural hazards and earth system sciences, Journal Year: 2025, Volume and Issue: 25(1), P. 287 - 304

Published: Jan. 20, 2025

Abstract. The European Commission Disaster Risk Management Knowledge Centre (DRMKC) has developed and hosts a web platform, the Data Hub (RDH), designed to facilitate access sharing of curated, EU-wide risk data, tools, methodologies, ultimately supporting disaster management (DRM) initiatives. Based on RDH we propose methodology for identification regions with multi-hazard exposure at pan-European level (EU27+UK). This aims support decision-making processes both national subnational levels in EU. By employing meta-analysis approach aggregating hotspots single hazards, provide an objective, statistically robust assessment landscape finest spatial subdivision level, local administrative units (LAUs). Our results suggest that 21.4 % LAUs are exposed multiple natural affecting around 87 million people (18.8 population). Furthermore, nearly half this population is more than three hazards. We find beyond density, income (i.e. high, medium, low) primary driver influences status within rural urban areas. On average, higher living high-income areas or low-income further validate our by comparing them empirical data fatalities events, revealing relatively high correlation between significant (r=0.59). providing detailed scale, study contributes better integration risks plans.

Language: Английский

Citations

0

Human centric VR system development supporting fire emergency evacuation: A novel knowledge-data dual driven approach DOI
Jiaxin Ling, Xiaojun Li, Yi Shen

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126895 - 126895

Published: Feb. 1, 2025

Language: Английский

Citations

0

Effectiveness evaluation of a serious game for dental lost wax casting training DOI Creative Commons
Yizhen Wang, Yi Li, ChaoYi Ma

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 27, 2025

A serious game module called "D-Casting" was developed in the previous study. This study aimed to determine effectiveness of D-Casting module. The experiment consisted two parts: construct validity assessment and skill transfer assessment. Eligible participants, who were students majoring dental technology, recruited from Stomatology College Chongqing Medical University. intervention designed based on games framework. a total 145 participants (100% response rate). results suggested that could effectively distinguish novice experienced (86.67[15.832] vs. 88.62 [11.252] 82.24 [15.674] 96.39 [8.419]; P < 0.001). 78 showed group combined with for teaching learning performed better than control casting process (82.26[13.711] 89.64[6.796]; Z = -2.033; 0.042). simple mediation analysis direct effect instructing method scores casts not significant (95% CI − 3.45 2.98), but indirect 3.42 12.39) 2.50 12.27; 0.004) significant. determined situation Further multi-center experiments should be conducted how skills are transferred through games.

Language: Английский

Citations

0

Assessment of Children’s Health and Climate Changes effects in Urban Spaces: A Review of Healthy and Smart Cities Viewpoint DOI
MEHDI ALYARI

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

Abstract This study addresses the serious challenges climate change poses to children’s well-being and explores potential role of virtual reality (VR) in enhancing urban health. A systematic literature review, guided by PRISMA, mapped needs physical digital environments. Analysis 2,511 sources (n = 38 final studies) using VOS viewer software revealed 1,000 keyword clusters exposed an important difference between existing research topics for healthy smart cities (HSCs) children. Key findings highlight critical gaps effective mitigation strategies tailored vulnerabilities lack their participation planning. Mostly, low occurrence keywords such as children's health shows a worrying gap. requires more focused approach, technology, mostly reality, link these knowledge gaps. VR proposes remarkable opportunity simulate interventions develop sustainable, resilient, child-friendly spaces. Further studies are vital training climate-related issues. goals investigating spaces that mitigate effects vigorously support inclusive

Language: Английский

Citations

0